conftrace_

inverse reinforcement learning

205 papers

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Also known as

IRL

Co-occurring keywords

reward function (291) imitation learning (744) policy learning (702) markov decision process (790) reward learning (68) multi-agent system (1819) bayesian inference (1907) maximum entropy (91) preference learning (418) expert demonstration (38)

Papers

Learning to Assist Humans without Inferring Rewards NIPS 2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch NIPS 2024
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates NIPS 2024
EMOTE: An Explainable Architecture for Modelling the Other through Empathy IJCAI 2024
Measuring Goal-Directedness NIPS 2024
Learning true objectives: Linear algebraic characterizations of identifiability in inverse reinforcement learning L4DC 2024
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment NIPS 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024
Making AI Policies Transparent to Humans through Demonstrations AAAI 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NIPS 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NIPS 2024
Simplifying Constraint Inference with Inverse Reinforcement Learning NIPS 2024
Recent Advancements in Inverse Reinforcement Learning AAAI 2024
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms ICML 2024
Extracting Reward Functions from Diffusion Models NIPS 2023
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations NIPS 2023
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons ICML 2023
Multi-Agent Learning from Learners ICML 2023
Imitation Learning As State Matching via Differentiable Physics CVPR 2023
Coherent Soft Imitation Learning NIPS 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NIPS 2023
Inverse Reinforcement Learning for Text Summarization EMNLP 2023
Misspecification in Inverse Reinforcement Learning AAAI 2023